This guide explains how to use Neuron v3’s multimodal audio capabilities—including OpenAI and ElevenLabs text‑to‑speech and speech‑to‑text providers—to create a local, hands‑free voice assistant that captures audio, transcribes it, processes it via an agent, and plays back responses.
This article introduces four open-source projects—LifeTrace, Voquill, RunCat365, and WindowPet—detailing how they use AI, OCR, and lightweight cross-platform frameworks to automatically record digital activity, convert speech to clean text, visualize CPU load, and add customizable desktop pets, with GitHub links for each.
This article walks through the complete front‑end architecture and implementation details for integrating Tencent Cloud speech‑to‑text into a React app, covering token authentication, SDK initialization, event handling, cursor‑aware text insertion, character limits, permission handling, error management, and state management with MobX.
This weekly roundup spotlights three open‑source tools—AFFiNE’s local‑first knowledge workspace, Vanna’s natural‑language‑to‑SQL AI framework, and Handy’s offline, privacy‑focused speech‑to‑text app—showcasing recent advances in knowledge management, data analysis, and secure voice transcription.
This article introduces eight noteworthy open‑source projects—including an interactive prompt‑engineering tutorial, Claude Cookbooks, an offline speech‑to‑text tool, an eBook‑to‑audiobook converter, the Servo browser engine, a free programming‑books collection, a real‑time object‑detection model, and other popular repositories—each with brief descriptions and GitHub links.
The author evaluates Daiti, an offline AI voice‑to‑text application, describing personal typing pain points, testing methodology, pros such as speed, privacy and custom dictionaries, cons like limited model support and missing export features, and provides step‑by‑step installation, configuration, and cost details.
This article introduces four high‑impact open‑source AI projects—a curated high‑quality dataset collection, the Kronos financial K‑line model, WhisperLiveKit for real‑time speech transcription, and Youtu‑agent for building versatile AI agents—highlighting their features, usage, and GitHub links.
OpenAI announced three new speech models—two STT models (gpt-4o-transcribe and its lightweight gpt-4o-mini-transcribe) and one TTS model (gpt-4o-mini-tts)—showcasing strong accuracy on multilingual benchmarks, competitive pricing, and a quick‑start API demo for developers.
This article walks through how to enable voice-driven coding with GitHub Copilot, VS Code Speech, and Cursor, detailing plugin installation, configuration steps, shortcut keys, and tips for using system or input‑method speech input to create a seamless hands‑free AI coding experience.
This article explains how to use OpenAI's Whisper and the faster‑Whisper wrapper to quickly convert audio or video files into searchable text, covering installation, Python code examples, a Swift client, and a Flask‑based server API for practical transcription workflows.
This article explains the end‑to‑end deep‑learning pipeline for speech‑to‑text, covering audio digitization, preprocessing with librosa, conversion to Mel spectrograms and MFCCs, data augmentation, a CNN‑RNN architecture, CTC loss, decoding strategies and evaluation with word error rate.
This tutorial walks you through setting up a Python environment, installing required dependencies, and using AssemblyAI’s high‑accuracy speech‑to‑text Web API to upload audio files, start transcription, and retrieve the transcribed text, including tips for handling API keys and checking transcription status.
This guide walks you through the fundamentals of speech recognition, explains how modern systems work, shows how to choose and install the Python SpeechRecognition package, and demonstrates processing audio files, handling noise, using offsets, and capturing live microphone input with practical code examples.
